Cave Entrance Location Model Using Binary Logistic Regression: The Case Study of South Gombong Karst Region, Indonesia

• المؤلفون الرئيسيون: Putra, Rakhmat Dwi, Widyatmanti, Wirastuti, Jatmiko, Retnadi Heru, Adji, Tjahyo Nugroho, Umarhadi, Deha Agus
• التنسيق: مقال PeerReviewed
• اللغة: English
• منشور في: the Geographical Institute "Jovan Cvijić" of the Serbian Academy of Sciences and Arts (SASA) 2022
• الموضوعات: Geography and Environmental Sciences
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/278775/1/CAVE%20ENTRANCE%20LOCATION%20MODEL%20USING%20BINARY%20LOGISTIC%20REGRESSION-THE%20CASE%20STUDY%20OF%20SOUTH%20GOMBONG%20KARST%20REGION%2C%20INDONESIA.pdf; https://repository.ugm.ac.id/278775/; https://ojs.gi.sanu.ac.rs/index.php/zbornik; https://doi.org/10.2298/IJGI2203229P
• المؤسسة: Universitas Gadjah Mada

Cave entrance data are crucial as the primary indicators in the underground water inventory of a karst area. The data collection was traditionally conducted by field survey, but it is very costly and not efficient. Remote sensing and Geographic Information System (GIS) can help estimate cave entra...